Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks
Sign Up to like & getrecommendations! Published in 2019 at "Information Systems Frontiers"
DOI: 10.1007/s10796-018-9850-y
Abstract: Feature embedding is an emerging research area which intends to transform features from the original space into a new space to support effective learning. Many feature embedding algorithms exist, but they often suffer from several… read more here.
Keywords: supervised unsupervised; learning tasks; feature; online learning ... See more keywords
A Specific Implicit Sequence Learning Deficit as an Underlying Cause of Dyslexia? Investigating the Role of Attention in Implicit Learning Tasks
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DOI: 10.1037/neu0000348
Abstract: Objective: Recently, a general implicit sequence learning deficit was proposed as an underlying cause of dyslexia. This new hypothesis was investigated in the present study by including a number of methodological improvements, for example, the… read more here.
Keywords: implicit learning; learning tasks; sequence learning; implicit sequence ... See more keywords
Causality-Aware Predictions in Static Anticausal Machine Learning Tasks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202151
Abstract: We propose a counterfactual approach to train "causality-aware" predictive models that are able to leverage causal information in static anticausal machine learning tasks (i.e., prediction tasks where the outcome influences the inputs). In applications plagued… read more here.
Keywords: static anticausal; machine learning; causality aware; anticausal machine ... See more keywords
Simulation‐based education for novices: complex learning tasks promote reflective practice
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DOI: 10.1111/medu.13748
Abstract: Simulated clinical immersion (SCI), in which clinical situations are simulated in a realistic environment, safely and gradually exposes novices to complex problems. Given their limited experience, undergraduate students can potentially be quite overwhelmed by SCI… read more here.
Keywords: novices complex; education novices; based education; simulation based ... See more keywords
Average reward rates enable motivational transfer across independent reinforcement learning tasks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Behavioral Neuroscience"
DOI: 10.3389/fnbeh.2022.1041566
Abstract: Outcomes and feedbacks on performance may influence behavior beyond the context in which it was received, yet it remains unclear what neurobehavioral mechanisms may account for such lingering influences on behavior. The average reward rate… read more here.
Keywords: reinforcement learning; reinforcement; task; average reward ... See more keywords
Coarse-Grained Neural Network Model of the Basal Ganglia to Simulate Reinforcement Learning Tasks
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12020262
Abstract: Computational models of the basal ganglia (BG) provide a mechanistic account of different phenomena observed during reinforcement learning tasks performed by healthy individuals, as well as by patients with various nervous or mental disorders. The… read more here.
Keywords: learning tasks; reinforcement learning; model; neural network ... See more keywords
Learner-Centred Learning Tasks in Higher Education: A Study on Perception among Students
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DOI: 10.3390/educsci11050230
Abstract: Universities face the challenge of constantly improving the quality of higher education and changing the learning behaviour of students, from passive reactive learning to active self-regulated learning. Learner-centred, constructively designed learning tasks offer a great… read more here.
Keywords: learning tasks; learner centred; tasks higher; higher education ... See more keywords
Genetic dissection of mutual interference between two consecutive learning tasks in Drosophila
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.7554/elife.83516
Abstract: Animals can continuously learn different tasks to adapt to changing environments and therefore have strategies to effectively cope with inter-task interference, including both proactive interference (Pro-I) and retroactive interference (Retro-I). Many biological mechanisms are known… read more here.
Keywords: tasks drosophila; task; interference; different tasks ... See more keywords